The education sector has benefitted enormously through integrating digital technology
driven tools and platforms. In recent years, artificial intelligence based methods are being …

Electronic learning management systems provide live environments for students and faculty
members to connect with their institutional online portals and perform educational activities …

The availability of educational data obtained by technology-assisted learning platforms can
potentially be used to mine student behavior in order to address their problems and …

Data mining is most efficient when used deliberately to achieve a corporate goal, answer
business or research questions, or contribute to a problem-solving solution. Data mining …

Abstract Technology, Engineering, and Mathematics (STEM) enrolment has gained a lot of
research interest. The increase in demand for STEM-based skill sets has contributed to the …

Cooperative learning is a pedagogical approach in which students collaborate in small
groups to attain a shared academic objective. In the classroom, cooperative learning aims to …

Educational data mining (EDM) is a specialized field within data mining that focuses on
extracting valuable insights from academic data across high school and university levels. A …

With the rapid development of information technology and the increasing diversity in the
education field, personalized teaching has become the key to educational innovation …

Predicting student performance is crucial for educational institutions aiming to enhance
student achievement and academic readiness. This research, conducted at a university …

This paper addresses and evaluates approaches to incorporating personality data into a
recommender system. Automatic personality recognition is enabled by the LIWC dictionary …